Methods, Data, and Conceptual Change: Reflections from Two Quantitative Diachronic Case Studies
The episode discusses 'Methods, Data, and Conceptual Change,' analyzing how quantitative tools can map conceptual drift over time. Hosts conclude that understanding human thought requires moving beyond literary texts to integrate diverse data types (e.g., legal or scientific records) and modeling broad conceptual networks.